Return of the devil in the details: delving deep into convolutional nets
The latest generation of Convolutional Neural Networks (CNN) have achieved impressive results in challenging benchmarks on image recognition and object detection, significantly raising the interest of the community in these methods. Nevertheless, it is still unclear how different CNN methods compare...
Huvudupphovsmän: | Chatfield, K, Simonyan, K, Vedaldi, A, Zisserman, A |
---|---|
Materialtyp: | Conference item |
Språk: | English |
Publicerad: |
British Machine Vision Association and Society for Pattern Recognition
2014
|
Liknande verk
-
Return of the devil in the details: delving deep into convolutional nets
av: Chatfield, K, et al.
Publicerad: (2014) -
The devil is in the details: an evaluation of recent feature encoding methods
av: Chatfield, K, et al.
Publicerad: (2011) -
Deep inside convolutional networks: visualising image classification models and saliency maps
av: Simonyan, K, et al.
Publicerad: (2014) -
Efficient on-the-fly category retrieval using ConvNets and GPUs
av: Chatfield, K, et al.
Publicerad: (2015) -
Reading text in the wild with convolutional neural networks
av: Jaderberg, M, et al.
Publicerad: (2014)